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Author's title

Author

*Unverified author*

R Software Module

rwasp_histogram.wasp

Title produced by software

Histogram

Date of computation

Wed, 20 Feb 2008 04:33:59 -0700

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Feb/20/t1203507298p00rl0qy4londuo.htm/, Retrieved Sun, 12 May 2024 01:25:13 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=8398, Retrieved Sun, 12 May 2024 01:25:13 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

210

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-       [Histogram] [prijsevolutie hon...] [2008-02-20 11:33:59] [09804d09b1efbac8047933d2e370b54e] [Current]

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Dataseries X:

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Histogram

Boxplots

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of compuational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8398&T=0

[TABLE]
[ROW][C]Summary of compuational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8398&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8398&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of compuational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.91,1.92[	1.915	3	0.041096	0.041096	4.109589
[1.92,1.93[	1.925	6	0.082192	0.123288	8.219178
[1.93,1.94[	1.935	6	0.082192	0.205479	8.219178
[1.94,1.95[	1.945	3	0.041096	0.246575	4.109589
[1.95,1.96[	1.955	2	0.027397	0.273973	2.739726
[1.96,1.97[	1.965	2	0.027397	0.30137	2.739726
[1.97,1.98[	1.975	1	0.013699	0.315068	1.369863
[1.98,1.99[	1.985	15	0.205479	0.520548	20.547945
[1.99,2[	1.995	14	0.191781	0.712329	19.178082
[2,2.01[	2.005	8	0.109589	0.821918	10.958904
[2.01,2.02]	2.015	13	0.178082	1	17.808216

\begin{tabular}{lllllllll}
\hline
Frequency Table (Histogram) \tabularnewline
Bins & Midpoint & Abs. Frequency & Rel. Frequency & Cumul. Rel. Freq. & Density \tabularnewline
[1.91,1.92[ & 1.915 & 3 & 0.041096 & 0.041096 & 4.109589 \tabularnewline
[1.92,1.93[ & 1.925 & 6 & 0.082192 & 0.123288 & 8.219178 \tabularnewline
[1.93,1.94[ & 1.935 & 6 & 0.082192 & 0.205479 & 8.219178 \tabularnewline
[1.94,1.95[ & 1.945 & 3 & 0.041096 & 0.246575 & 4.109589 \tabularnewline
[1.95,1.96[ & 1.955 & 2 & 0.027397 & 0.273973 & 2.739726 \tabularnewline
[1.96,1.97[ & 1.965 & 2 & 0.027397 & 0.30137 & 2.739726 \tabularnewline
[1.97,1.98[ & 1.975 & 1 & 0.013699 & 0.315068 & 1.369863 \tabularnewline
[1.98,1.99[ & 1.985 & 15 & 0.205479 & 0.520548 & 20.547945 \tabularnewline
[1.99,2[ & 1.995 & 14 & 0.191781 & 0.712329 & 19.178082 \tabularnewline
[2,2.01[ & 2.005 & 8 & 0.109589 & 0.821918 & 10.958904 \tabularnewline
[2.01,2.02] & 2.015 & 13 & 0.178082 & 1 & 17.808216 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=8398&T=1

[TABLE]
[ROW][C]Frequency Table (Histogram)[/C][/ROW]
[ROW][C]Bins[/C][C]Midpoint[/C][C]Abs. Frequency[/C][C]Rel. Frequency[/C][C]Cumul. Rel. Freq.[/C][C]Density[/C][/ROW]
[ROW][C][1.91,1.92[[/C][C]1.915[/C][C]3[/C][C]0.041096[/C][C]0.041096[/C][C]4.109589[/C][/ROW]
[ROW][C][1.92,1.93[[/C][C]1.925[/C][C]6[/C][C]0.082192[/C][C]0.123288[/C][C]8.219178[/C][/ROW]
[ROW][C][1.93,1.94[[/C][C]1.935[/C][C]6[/C][C]0.082192[/C][C]0.205479[/C][C]8.219178[/C][/ROW]
[ROW][C][1.94,1.95[[/C][C]1.945[/C][C]3[/C][C]0.041096[/C][C]0.246575[/C][C]4.109589[/C][/ROW]
[ROW][C][1.95,1.96[[/C][C]1.955[/C][C]2[/C][C]0.027397[/C][C]0.273973[/C][C]2.739726[/C][/ROW]
[ROW][C][1.96,1.97[[/C][C]1.965[/C][C]2[/C][C]0.027397[/C][C]0.30137[/C][C]2.739726[/C][/ROW]
[ROW][C][1.97,1.98[[/C][C]1.975[/C][C]1[/C][C]0.013699[/C][C]0.315068[/C][C]1.369863[/C][/ROW]
[ROW][C][1.98,1.99[[/C][C]1.985[/C][C]15[/C][C]0.205479[/C][C]0.520548[/C][C]20.547945[/C][/ROW]
[ROW][C][1.99,2[[/C][C]1.995[/C][C]14[/C][C]0.191781[/C][C]0.712329[/C][C]19.178082[/C][/ROW]
[ROW][C][2,2.01[[/C][C]2.005[/C][C]8[/C][C]0.109589[/C][C]0.821918[/C][C]10.958904[/C][/ROW]
[ROW][C][2.01,2.02][/C][C]2.015[/C][C]13[/C][C]0.178082[/C][C]1[/C][C]17.808216[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=8398&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=8398&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Frequency Table (Histogram)
Bins	Midpoint	Abs. Frequency	Rel. Frequency	Cumul. Rel. Freq.	Density
[1.91,1.92[	1.915	3	0.041096	0.041096	4.109589
[1.92,1.93[	1.925	6	0.082192	0.123288	8.219178
[1.93,1.94[	1.935	6	0.082192	0.205479	8.219178
[1.94,1.95[	1.945	3	0.041096	0.246575	4.109589
[1.95,1.96[	1.955	2	0.027397	0.273973	2.739726
[1.96,1.97[	1.965	2	0.027397	0.30137	2.739726
[1.97,1.98[	1.975	1	0.013699	0.315068	1.369863
[1.98,1.99[	1.985	15	0.205479	0.520548	20.547945
[1.99,2[	1.995	14	0.191781	0.712329	19.178082
[2,2.01[	2.005	8	0.109589	0.821918	10.958904
[2.01,2.02]	2.015	13	0.178082	1	17.808216

Figure 1

PNG link

Postscript link

PDF link

Parameters (Session):

par2 = grey ; par3 = FALSE ; par4 = Unknown ;

Parameters (R input):

par1 = ; par2 = grey ; par3 = FALSE ; par4 = Unknown ;

R code (references can be found in the software module):

par1 <- as.numeric(par1)
if (par3 == 'TRUE') par3 <- TRUE
if (par3 == 'FALSE') par3 <- FALSE
if (par4 == 'Unknown') par1 <- as.numeric(par1)
if (par4 == 'Interval/Ratio') par1 <- as.numeric(par1)
if (par4 == '3-point Likert') par1 <- c(1:3 - 0.5, 3.5)
if (par4 == '4-point Likert') par1 <- c(1:4 - 0.5, 4.5)
if (par4 == '5-point Likert') par1 <- c(1:5 - 0.5, 5.5)
if (par4 == '6-point Likert') par1 <- c(1:6 - 0.5, 6.5)
if (par4 == '7-point Likert') par1 <- c(1:7 - 0.5, 7.5)
if (par4 == '8-point Likert') par1 <- c(1:8 - 0.5, 8.5)
if (par4 == '9-point Likert') par1 <- c(1:9 - 0.5, 9.5)
if (par4 == '10-point Likert') par1 <- c(1:10 - 0.5, 10.5)
bitmap(file='test1.png')
if (is.na(par1)) {
myhist<-hist(x,col=par2,main=main,xlab=xlab,right=par3)
} else {
if (par1 < 0) par1 <- 3
if (par1 > 50) par1 <- 50
myhist<-hist(x,breaks=par1,col=par2,main=main,xlab=xlab,right=par3)
}
dev.off()
myhist
n <- length(x)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('histogram.htm','Frequency Table (Histogram)',''),6,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Bins',header=TRUE)
a<-table.element(a,'Midpoint',header=TRUE)
a<-table.element(a,'Abs. Frequency',header=TRUE)
a<-table.element(a,'Rel. Frequency',header=TRUE)
a<-table.element(a,'Cumul. Rel. Freq.',header=TRUE)
a<-table.element(a,'Density',header=TRUE)
a<-table.row.end(a)
crf <- 0
if (par3 == FALSE) mybracket <- '[' else mybracket <- ']'
mynumrows <- (length(myhist$breaks)-1)
for (i in 1:mynumrows) {
a<-table.row.start(a)
if (i == 1)
dum <- paste('[',myhist$breaks[i],sep='')
else
dum <- paste(mybracket,myhist$breaks[i],sep='')
dum <- paste(dum,myhist$breaks[i+1],sep=',')
if (i==mynumrows)
dum <- paste(dum,']',sep='')
else
dum <- paste(dum,mybracket,sep='')
a<-table.element(a,dum,header=TRUE)
a<-table.element(a,myhist$mids[i])
a<-table.element(a,myhist$counts[i])
rf <- myhist$counts[i]/n
crf <- crf + rf
a<-table.element(a,round(rf,6))
a<-table.element(a,round(crf,6))
a<-table.element(a,round(myhist$density[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code